{"id":"W3024863189","doi":"10.1007/s11430-019-9613-9","title":"The dynamic and thermodynamic processes dominating the reduction of global land monsoon precipitation driven by anthropogenic aerosols emission","year":2020,"lang":"en","type":"article","venue":"Science China Earth Sciences","topic":"Climate variability and models","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Pacific Northwest National Laboratory; Biological and Environmental Research; Centrum fÖr Personcentrerad Vård; Office of Science; National Natural Science Foundation of China; Battelle; U.S. Department of Energy","keywords":"Monsoon; Precipitation; Climatology; Environmental science; Aerosol; Forcing (mathematics); Coupled model intercomparison project; Atmospheric sciences; Climate model; Climate change; Precipitable water; Advection; Geography; Meteorology; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001510257,0.0002527011,0.0002024321,0.0002336149,0.0002729552,0.0005926834,0.000334848,0.0003199043,0.001239876],"category_scores_gemma":[0.0003431357,0.0002312953,0.0003596135,0.0002186486,0.0003120506,0.0005122828,0.0002987771,0.0003032933,0.0001089172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00054049,"about_ca_system_score_gemma":0.0006384121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008458187,"about_ca_topic_score_gemma":0.007640055,"domain_scores_codex":[0.9999545,0.000006865251,0.000003339232,0.00001474162,0.000008132149,0.00001248376],"domain_scores_gemma":[0.9999361,0.00001471118,0.0000157181,0.000005763971,0.0000157435,0.00001200214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006822998,0.0004579753,0.307069,0.0004396502,0.0007550207,0.001399323,0.0003868045,0.3429694,0.2732213,0.039639,0.00484178,0.02813848],"study_design_scores_gemma":[0.000102873,0.00006015771,0.455761,0.00001363562,0.0001095553,0.000157601,0.0001890228,0.5225542,0.00872746,0.009617411,0.002665187,0.00004183683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931923,0.0002850569,0.001919441,0.0004761442,0.00005286567,0.00001169199,0.0003713238,0.00006990298,0.003621304],"genre_scores_gemma":[0.9993617,0.00008144379,0.0001316936,0.00001651071,0.00001492988,0.000002969477,0.0001102372,0.000009933026,0.0002705909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008458187,"threshold_uncertainty_score":0.01681793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008599995503933,"score_gpt":0.2609689269866304,"score_spread":0.2508829270315911,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}